GPT-5.2
December 2025 evolution of GPT-5 establishing 81% SWE-bench Verified resolution, 500k context, and enhanced multimodal audio/vision integration.
500k
~375k words input
$4 / $16
Prompt / Completion per 1M
81 % resolved
SWE-bench Verified
Cloud Managed
Zero local VRAM
Holistic Capability Distribution
Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.
Verified LLM Benchmarks
Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.
Inference Latency & Generation Throughput
Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).
Measured under concurrent production load
p95 latency: 950 ms
Across 3,400 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- First standard-tier model to match original GPT-5 Pro benchmark scores.
- Exceptional 81.0% SWE-bench Verified coding precision.
- Unified voice and vision processing natively integrated into reasoning loops.
Operational Considerations
- Ultra-complex scientific verification is best handled by GPT-5.2 Pro.
Hardware & Execution Parameters
Genealogical Provenance
End of year 2025 standard reasoning model in the GPT-5 series.
openai gpt 5 1
GPT-5.2
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Hybrid reasoning architecture with fast inference kernels for continuous thinking.
Evaluation Profile & Reasoning Capabilities
Autonomous test creation, self-debugging, and multi-file code editing.
Inference Economics & Cost Optimization
$4 / $16 per 1M tokens.
Primary Production Workloads & Suitability
Cloud Deployment Architecture & Hardware Sizing
Cloud Deployment Architecture
Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.
Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.
Multi-Tenant Cloud API
Continuous autoscaling with regional failover
0 GB Local VRAM
Inference executed on hyperscaler accelerator clusters
500k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-5.2 vs GPT-5.1
Compare GPT-5.2 against GPT-5.1's verified benchmarks, context window, and pricing.
GPT-5.2 vs GPT-5.2 Pro
Compare GPT-5.2 against GPT-5.2 Pro's verified benchmarks, context window, and pricing.
GPT-5.2 vs OpenAI Decisions
Compare GPT-5.2 against OpenAI Decisions's verified benchmarks, context window, and pricing.
GPT-5.2 vs GPT-3.5 Turbo
Compare GPT-5.2 against GPT-3.5 Turbo's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$4.00 / 1M
Standard prompt context ingestion
$16.00 / 1M
Generated completion & thinking tokens
$0.40 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$864.00
Includes prompt caching
-$216.00
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
GPT-5.1
November 2025 update to GPT-5 delivering lower pricing ($4/$16), improved steerability, and 78% on SWE-bench Verified.
GPT-5.2 Pro
Peak 2025 reasoning flagship from OpenAI, achieving 84.5% on SWE-bench Verified and 89.2% on GPQA Diamond with dynamic test-time compute search.
OpenAI Decisions
OpenAI Decisions is OpenAI's dedicated high-throughput decision-making API powered by GPT-6 Luna, accessed via the POST /v1/decisions endpoint. Designed for agent routing, automated content moderation, and classification, it processes typed questions (predicates, categorical choices, and rubric scores) roughly 10x faster than standard generation, billed at $0.10 per million input tokens with zero output-token fees.
GPT-3.5 Turbo
OpenAI's foundational conversational model that launched the ChatGPT era, optimized for fast dialogue, summary generation, and lightweight JSON tasks.
SDK Installation & API Integration
import OpenAI from 'openai';
const client = new OpenAI();
const completion = await client.chat.completions.create({
model: 'gpt-5.2',
messages: [{ role: 'user', content: 'Implement a raft consensus node in Go.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-5.2
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
GPT-5.2 achieves near-parity with GPT-5 Pro (81% SWE-bench) at nearly a third of the token cost.